Computing & data

Computer and Information Sciences, General

Hampton University · Hampton, VA

Medium evidenceMatched peers12 institutions · same subjectSee the evidence

The degree in numbers

Cost & earnings.

Annual tuition$29,162Institution-level tuition; programme fees may differ · before aid
Annual credentials awarded1Average of available recent award years; not the earnings sample size.

Earnings context

One career stage.
A clearer comparison.

USD · Master's · 2 years after completion
Same source release. National references exclude this degree.

Selected degree estimate$74,262
Same subject · national$80,705
Computing & data · national$82,088

Behind the number

Your comparison group.

Medium evidence

Same subject at 12 matched peer institutions · master's

Grouped estimate. Middle half of comparison values: $66,273–$95,910.

Historical earnings archive. College Scorecard legacy FOS archive (file dated 2022-01-19; cohorts vary). Do not interpret this as today's graduate salary. Further study and career changes are not modelled by this early-career figure.

Master's outcomes · 2 years after completion
Institution & subjectReported earnings
University of San FranciscoComputer and Information Sciences, General$140,922
Illinois Institute of TechnologyComputer and Information Sciences, General$73,949
University of West FloridaComputer and Information Sciences, General$74,576
Nova Southeastern UniversityComputer and Information Sciences, General$66,329
University of South AlabamaComputer and Information Sciences, General$71,015
Azusa Pacific UniversityComputer and Information Sciences, General$100,414
Middle Tennessee State UniversityComputer and Information Sciences, General$66,104
New Jersey Institute of TechnologyComputer and Information Sciences, General$80,095
Western Illinois UniversityComputer and Information Sciences, General$55,338
Central Connecticut State UniversityComputer and Information Sciences, General$63,328
The University of Texas at DallasComputer and Information Sciences, General$94,408
University of Washington-Tacoma CampusComputer and Information Sciences, General$122,038
How matching & uncertainty work

We first look for the same subject code (or exact subject name), qualification, country, currency, source release and earnings horizon. Peer institutions are matched using admissions selectivity, completion rates, undergraduate size and institution type, with a small preference for the same region. These are institutional proxies, not a ranking of programme quality.

This group uses wider similarity limits because the tight group is too small. If subject-matched peers are sparse, we try related subjects at closely matched universities, related degrees at this university, then an explicitly labelled national reference. We never multiply a salary by a university prestige score.

Peer and national estimates give each reporting institution one vote, after taking the median of its related programmes. Shared branch-campus outcomes count once. The middle-half range describes variation between reporting institutions. It is not an individual salary range or a statistical confidence interval.

Evidence labels describe match quality and coverage, not validated prediction accuracy. Admissions and size are undergraduate institutional measures, so graduate-degree comparisons are especially approximate.

Historical cohort outcomes are not promised salaries or a causal effect of attending this programme. College Scorecard earnings cover eligible federal-aid recipients, not every graduate or international student. Source definitions ↗